Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Documents
- Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients_(accepted_version)
Accepted author manuscript, 2.35 MB, PDF document
Abnormal blood compositions can lead to abnormal blood flow which can influence the macular vasculature. Optical coherence tomography angiography (OCTA) makes it possible to study the macular vasculature and potential vascular abnormalities induced by hematological disorders. Here, we investigate vascular changes in control subjects and in hematologic patients before and after treatment. Since these changes are small, they are difficult to notice in the OCTA images. To quantify vascular changes, we propose a method for combined capillary registration, dictionary-based segmentation and local density estimation. Using this method, we investigate three patients and five controls, and our results show that we can detect small changes in the vasculature in patients with large changes in blood composition.
Original language | English |
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Title of host publication | 2020 IEEE 17th International Symposium on Biomedical Imaging |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2020 |
Pages | 1987-1991 |
Article number | 9098441 |
ISBN (Electronic) | 9781538693308 |
DOIs | |
Publication status | Published - 2020 |
Event | 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States Duration: 3 Apr 2020 → 7 Apr 2020 |
Conference
Conference | 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 |
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Land | United States |
By | Iowa City |
Periode | 03/04/2020 → 07/04/2020 |
Sponsor | EMB, IEEE, IEEE Signal Processing Society |
Series | Proceedings - International Symposium on Biomedical Imaging |
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Volume | 2020-April |
ISSN | 1945-7928 |
- Microvasculature, OCTA, Quantification
Research areas
ID: 251582788